Salesforce is seeking a Lead Data Engineer in Dublin to advance AI-driven data initiatives within their Employee Success team. The ideal candidate will possess extensive experience in data engineering, AI, and machine learning, with a strong focus on building data pipelines and APIs to support innovative analytics solutions
Job Summary
Lead design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence.
Architect and maintain APIs for seamless data exchange between systems, including Salesforce Data Cloud and Agentforce, enabling AI-powered workflows.
Leverage AI and machine learning to enhance data processing, predictive analytics, and automation, and implement and integrate large language models (LLMs) and generative AI solutions.
Matching Summary
Match Score: 85
Salesforce is seeking a Lead Data Engineer in Dublin to advance AI-driven data initiatives within their Employee Success team. The ideal candidate will possess extensive experience in data engineering, AI, and machine learning, with a strong focus on building data pipelines and APIs to support innovative analytics solutions.
Skills & Requirements
Must-have
Data pipeline design and optimization
API architecture and maintenance
AI/ML model enhancement
LLM and generative AI integration
Salesforce technologies (APEX, Flow)
Cloud data storage optimization
Data governance and security
Nice-to-have
People Analytics experience
Data visualization tools
Globally distributed teams
Salesforce Data Cloud
Snowflake platform
Key Requirements
10+ years in data engineering, data modeling, machine learning, automation, and analytics
Bachelor’s degree in Computer Science or relevant work experience
Proficiency in SQL, Bash, and Python scripting
Experience with orchestration tools (e.g., Apache Airflow) and version control (GIT)
Experience integrating systems through APIs
Experience with AWS technologies (ECS, Aurora, Lambda, S3) preferred